Fast Open-Source OLAP DBMS - ClickHouse
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database for AI
Powering agentic systems with millisecond queries at petabyte scale.
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Use cases
Built for every modern data challenge
Real-time analytics
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Deliver instant insights and dashboards at scale. Analyze billions of rows in real time with millisecond results.
Explore real-time analytics ->->
Observability
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Store and query logs, metrics and traces at scale using ClickStack, the open source observability stack powered by ClickHouse.
Data warehousing
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Analyze and explore data instantly for insights and apps. Scale faster by offloading heavy workloads.
ML & GenAI
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Power machine learning and GenAI with blazing-fast vector search, instant aggregations, and scalable training.
Build real-time data products that scale
Sony, Lyft, Cisco, GitLab and many more choose ClickHouse Cloud for its scale, efficiency, and ease of use.
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- Real-time analytics
- Observability
- Business intelligence
- Media & entertainment
- ML & GenAI
- Financial services
- Marketing & sales
- E-commerce & retail
- Fraud & cybersecurity
- Gaming
“ClickHouse played an instrumental role in helping us develop and ship Claude 4.”
Anthropic
“ClickHouse checked every box. We have availability, we have speed, we have durability. We have everything we could want.”
Tesla
“We needed something to slice and dice real-time data, like rides and driver hours across cities and regions where Lyft runs. Using ClickHouse resulted into a lot of performance benefits for us with huge cost savings for the org.”
Lyft
Why ClickHouse?
ClickHouse is the fastest and most resource efficient real-time data warehouse and open-source database.
Blazing fast
Ultimate query performance that your mission-critical and time-sensitive applications can depend on.
Developer friendly
Built to ensure that even the most sophisticated data analysis can be done intuitively, using simple SQL.
Cost effective
Best-in-class compression ratios that reduce storage and accelerate performance.
[Open
SourceMore ->](/clickhouse)### Secure, compliantMore ->### Resource optimizedMore ->### Proven at scaleMore ->### 100+ integrationsMore ->
Get started in a few minutes with a free cloud trial ->
Seamlessly integrate with your stack
Choose from our growing ecosystem of integrations for data ingestion, visualization, language clients, and more.
Why is ClickHouse so fast?
Column-oriented databases are better suited to OLAP scenarios. They are at least 100x faster in processing most queries. ClickHouse uses all available system resources to their full potential to process each analytical query as fast as possible.
Row-oriented databases
In row-oriented databases, data is stored in rows, with all the values related to a row physically stored next to each other.
Column-oriented databases
In column-oriented databases, like ClickHouse, data is stored in columns, with values from the same columns stored together.
Deploy your way
Unlike traditional closed-source databases, ClickHouse runs in every environment, whether it’s on your machine or in the cloud.
[ClickHouse CloudThe best way to use ClickHouse. Available on AWS, GCP, Azure and, on
their respective marketplaces.Get started](https://console.clickhouse.cloud/signUp?loc=home-deploy-your-way)### ClickHouseSpin up a database server with open-source ClickHouse. Always free.Download ClickHouse### ClickHouse LocalRun fast queries on local files (CSV, TSV, Parquet, and many more) without a server.Download ClickHouse Local
Join the 100k+ developers using ClickHouse today
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FAQs
Wherever you need us, we’re there. We love to engage in thoughtful conversation with the ClickHouse community and are always on-hand to answer your questions.
01
Why should I use ClickHouse vs. X database?
ClickHouse is faster than most traditional data warehouses and databases and is most often used when real-time queries on large datasets are necessary at an affordable cost. However, developers also often use ClickHouse on top of their CDWH or OLTP databases to act as a “speed layer” within their existing infrastructure.
02
What is OLAP?
OLAP stands for “online analytical processing” which contrasts from OLTP, or “online transaction processing.” As the name suggests, OLAP databases perform significantly better compared to OLTP databases for analytical workloads common with large datasets.
03
How does ClickHouse handle large amounts of data?
In order to easily process large amounts of data, ClickHouse uses highly optimized compression techniques and vectorized query execution to maximize CPU efficiency.
04
How does ClickHouse support data visualization and analysis?
ClickHouse supports connectors to many clients and drivers, including common BI and data analysis tools. Please see this page for a complete list of supported integrations.
05
How much does ClickHouse cost?
Self-managed ClickHouse is dependent on the cost of your compute and data storage resources, as well as headcount necessary to manage the ClickHouse deployment. For the most affordable way to run ClickHouse, use ClickHouse Cloud, which starts at $50/month.
Start using ClickHouse in seconds
Install ClickHouse for MacOS, Linux, and FreeBSD.
$curl https://clickhouse.com/ | sh
Or install for Windows, Docker or see other install options. Or try without installing in our playground.
Watch this getting started video to learn more about ClickHouse.